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Building AI into Workflows

AI Workflow Design 101

Teach employees how to rethink and redesign their own workflows with AI. AI Workflow Design 101 is a practical four-hour live training where knowledge workers map a real workflow from their job, identify where time and effort are lost, decide what AI should and should not do, and design a better way of working. Every participant leaves with an AI Workflow Blueprint for one workflow and a repeatable method they can use on the next.

English

Offered by Design Sprint Academy

Course overview

Knowing how to use AI is different from knowing how to change your work with it.

Most employees now have access to AI tools and are using them to draft, summarise, research or complete individual tasks faster. But making one task faster does not necessarily improve the workflow around it.

AI Workflow Design 101 teaches employees to step back and examine how their work actually happens from start to finish.

Participants work on a real, recurring workflow from their own job. They define what they want to improve, map the current process including workarounds and unnecessary steps, identify where time and effort are being lost, and redesign the workflow around the outcomes they want.

Only then do they decide where AI belongs.

Participants learn to distinguish between work AI can assist, augment or automate and work where human judgement should remain in control. They also examine reliability, data, risk and potential new bottlenecks before deciding whether the redesigned workflow is worth testing.

The training is practical and individual. Everyone works on their own workflow using the AI tools their organisation already provides.

Participants leave with an AI Workflow Blueprint, the complete framework and a guided prompt kit they can reuse to redesign other workflows independently.

What you'll learn

  • Choose a recurring workflow that is suitable for AI redesign
  • Define what you want to improve without starting from a particular AI tool
  • Map how the workflow actually operates today, including inputs, outputs, tools and workarounds
  • Identify where time, effort, delays and quality problems occur
  • Understand the cause and business impact of workflow friction
  • Question whether existing steps are still necessary before trying to automate them
  • Decide where AI should assist, augment or automate work, and where human judgement should remain in control
  • Redesign the workflow around the desired outcome rather than the existing process
  • Evaluate the redesigned workflow for reliability, data, privacy, risk and new bottlenecks
  • Decide whether the opportunity is worth testing, needs further work or should be stopped

Course content

5 sections · 0 modules

Participants choose a real workflow from their own job and define what they want to improve before considering any technology. They create an AI Opportunity Statement describing who is doing the work, what they are trying to achieve, what gets in the way and what would improve if the problem were solved. The emphasis is on the outcome, not the tool. Instead of starting with “use Copilot to automate this,” participants define the work that needs improving and why it matters. They also check whether the workflow is a good candidate for redesign: does it happen regularly, have clear inputs and outputs, use digital information, and allow the employee to recognise and correct an AI mistake?

    Requirements

    • The training works across roles and levels of AI experience because every participant applies the method to a workflow from their own job.
    • It is particularly useful for organisations that have already invested in AI literacy, Copilot, ChatGPT or similar tools and now want employees to move beyond isolated task improvements toward more meaningful workflow redesign.
    • No technical or coding experience is required.
    • Participants use the AI tools already approved and available inside their organisation.

    Who it's for

    • Knowledge workers across all departments
    • Employees who own recurring workflows and want to understand how AI could improve the way that work gets done.
    • This can include people working in: Finance HR and People, Sales and Marketing, Customer Service, Operations, Procurement, Project Management, Professional Services, Product, Administration, Other knowledge-work functions

    Offered by

    Design Sprint Academy
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